activity
20182026
most citedPower Under Multiplicity Project (PUMP): Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-level Experiments

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Adaptive Experimental Design Using Shrinkage Estimators

Evan T. R. Rosenman, Kristen B. Hunter

In multi-armed trials, adaptive designs are a popular way to increase estimation efficiency or identify optimal treatments. Several recent papers have proposed adaptive variants of…

stat.ME2022

Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism

Nicole E. Pashley, Kristen B. Hunter, Katy McKeough +2

Consider a situation with two treatments, the first of which is randomized but the second is not, and the multifactor version of this. Interest is in treatment effects, defined usi…

stat.ME2021★ 1 cited

Power Under Multiplicity Project (PUMP): Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-level Experiments

Kristen Hunter, Luke Miratrix, Kristin Porter

For randomized controlled trials (RCTs) with a single intervention being measured on multiple outcomes, researchers often apply a multiple testing procedure (such as Bonferroni or…

stat.ME2021

Inferring medication adherence from time-varying health measures

Kristen B. Hunter, Mark E. Glickman, Luis F. Campos

Medication adherence is a problem of widespread concern in clinical care. Poor adherence is a particular problem for patients with chronic diseases requiring long-term medication b…

stat.ME2021

Conceptualizing experimental controls using the potential outcomes framework

Kristen B. Hunter, Kristen Koenig, Marie-Abèle Bind

The goal of a well-controlled study is to remove unwanted variation when estimating the causal effect of the intervention of interest. Experiments conducted in the basic sciences f…

stat.AP2018

Measuring Effects of Medication Adherence on Time-Varying Health Outcomes using Bayesian Dynamic Linear Models

Luis F. Campos, Mark E. Glickman, Kristen B. Hunter

One of the most significant barriers to medication treatment is patients' non-adherence to a prescribed medication regimen. The extent of the impact of poor adherence on resulting…